- recipe bioconductor-hicbricks
Framework for Storing and Accessing Hi-C Data Through HDF Files
- Homepage:
https://bioconductor.org/packages/3.14/bioc/html/HiCBricks.html
- License:
MIT + file LICENSE
- Recipe:
HiCBricks is a library designed for handling large high-resolution Hi-C datasets. Over the years, the Hi-C field has experienced a rapid increase in the size and complexity of datasets. HiCBricks is meant to overcome the challenges related to the analysis of such large datasets within the R environment. HiCBricks offers user-friendly and efficient solutions for handling large high-resolution Hi-C datasets. The package provides an R/Bioconductor framework with the bricks to build more complex data analysis pipelines and algorithms. HiCBricks already incorporates example algorithms for calling domain boundaries and functions for high quality data visualization.
- package bioconductor-hicbricks¶
-
- Versions:
1.11.0-0
,1.10.0-0
,1.8.0-1
,1.8.0-0
,1.6.0-0
,1.4.0-0
,1.2.0-1
,1.0.0-0
- Depends:
bioconductor-biocparallel
>=1.28.0,<1.29.0
bioconductor-genomeinfodb
>=1.30.0,<1.31.0
bioconductor-genomicranges
>=1.46.0,<1.47.0
bioconductor-iranges
>=2.28.0,<2.29.0
bioconductor-rhdf5
>=2.38.0,<2.39.0
bioconductor-s4vectors
>=0.32.0,<0.33.0
r-base
>=4.1,<4.2.0a0
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-hicbricks
and update with:
conda update bioconductor-hicbricks
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-hicbricks:<tag>
(see bioconductor-hicbricks/tags for valid values for
<tag>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-hicbricks/README.html)